Staff Analytics Platform Engineer

Co‑owning the analytics platform architecture, designing end‑to‑end solutions across Snowflake, ingestion pipelines, dbt infrastructure, semantic layers, and secure analytics environments.

Defining and driving the long‑term technical vision for the analytics platform, ensuring it is scalable, cost‑efficient, secure, and easy for data consumers to use.

Establishing architectural principles and patterns that balance reliability, governance, usability, and performance across the entire data ecosystem.

Leading high‑impact platform initiatives that improve performance, developer experience, cost efficiency, or operational maturity.

Owning and evolving core platform components, including CI/CD, testing strategies, environment management, observability, and infrastructure as code.

Acting as the technical escalation point for complex, cross‑cutting platform issues and guiding teams toward robust, scalable solutions.

Driving Snowflake performance and cost optimisation, informed by real workloads and modelling patterns.

Implementing and maturing data SLAs/SLOs, data observability, lineage, and quality frameworks to ensure trusted analytics at scale.

Collaborating with data product and engineering teams to enable safe, scalable ingestion and well‑defined data contracts.

Influencing how teams design and interact with data systems, raising engineering standards across the organisation.

Providing technical mentorship to analytics engineers and platform engineers, helping elevate capability across the data function.

Working in a siloed environment with no freedom to make decisions.

Working in a place where you can’t see the impact your expertise makes.